Introduction

This short report summarizes basic exploratory data analysis and author-level summaries for the TidyTuesday “cuisines” dataset. Figures included below are produced by the project’s pipeline (clean_data.r, author_analysis.r) and listed as targets in the Makefile.

Data

The cleaned dataset is written to data/clean_cuisines.csv by clean_data.r. The original source is the TidyTuesday dataset used in the project (tidytuesdayR::tt_load(2025, week = 37)).

Variable distributions

Categorical distributions

Categorical variable distributions (all categorical columns)

Categorical variable distributions (all categorical columns)

Numeric distributions

Numeric variable distributions (histograms / densities)

Numeric variable distributions (histograms / densities)

Country distribution

Distribution of recipes by country

Distribution of recipes by country

Author-level analysis

Author success overview

Author success: productivity and rating summaries

Author success: productivity and rating summaries

Top authors by cuisine mix

Top authors and their cuisine specializations

Top authors and their cuisine specializations

Top authors: total time and calories

Top authors by total recipe time

Top authors by total recipe time

Top authors by calories

Top authors by calories